As high-dimensional and high-frequency data are being collected on a large scale, the
development of new statistical models is being pushed forward. Functional data analysis …

We propose a generic spatiotemporal framework to analyze manifold-valued
measurements, which allows for employing an intrinsic and computationally efficient …

Trajectory data can objectively reflect the moving law of moving objects. Therefore, trajectory
prediction has high application value. Hurricanes often cause incalculable losses of life and …

Identifying the factors that determine the spatial distribution of biodiversity is a major focus of
ecological research. These factors vary with scale from interspecific interactions to global …

Urban crimes are a severe threat to livable and sustainable urban environments. Many
studies have investigated the patterns, causes, and strategies for curbing the occurrence of …

Tropical cyclones are important drivers of coastal flooding which have severe negative
public safety and economic consequences. Due to the rare occurrence of such events, high …

For decades, de Casteljau's algorithm has been used as a fundamental building block in
curve and surface design and has found a wide range of applications in fields such as …

Abstract Spatial Functional Data (SFD) analysis is an emerging statistical framework that
combines Functional Data Analysis (FDA) and spatial dependency modeling. Unlike …

A multivariate functional principal component analysis approach to the full‐track simulation
of tropical cyclones (TCs) is developed for risk assessment. Elemental variables of TC along …

With the wide application of intelligent devices, a large amount of spatiotemporal trajectory
data can be preserved and recorded. The application of spatiotemporal trajectories has …